Optimization and Analysis of Surface Roughness, Flank Wear and 5 Different Sensorial Data via Tool Condition Monitoring System in Turning of AISI 5140.

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第一作者： Mustafa,Kuntoğlu

第一单位： Technology Faculty, Mechanical Engineering Department, Selcuk University, Selçuklu, 42130 Konya, Turkey.

作者： Mustafa,Kuntoğlu ^[1] ; Abdullah,Aslan ^[2] ; Hacı,Sağlam ^[1] ; Danil Yurievich,Pimenov ^[3] ; Khaled,Giasin ^[4] ; Tadeusz,Mikolajczyk ^[5]

作者单位： Technology Faculty, Mechanical Engineering Department, Selcuk University, Selçuklu, 42130 Konya, Turkey. ^[1] Engineering and Architecture Faculty, Mechanical Engineering Department, Selcuk University, Akşehir, 42550 Konya, Turkey. ^[2] Department of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia. ^[3] School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK. ^[4] Department of Production Engineering, UTP University of Science and Technology, Al. prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland. ^[5]

关键词 Tool Condition Monitoring acoustic emission cutting force flank wear motor current surface roughness temperature vibration

DOI 10.3390/s20164377

PMID 32764450

发布时间 2020-09-18

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